An overview of recommendation techniques and their applications in healthcare
With the increasing amount of information on the internet, recommendation system (RS) has
been utilized in a variety of fields as an efficient tool to overcome information overload. In …
been utilized in a variety of fields as an efficient tool to overcome information overload. In …
A latent factor analysis-based approach to online sparse streaming feature selection
Online streaming feature selection (OSFS) has attracted extensive attention during the past
decades. Current approaches commonly assume that the feature space of fixed data …
decades. Current approaches commonly assume that the feature space of fixed data …
An L1-and-L2-Norm-Oriented Latent Factor Model for Recommender Systems
A recommender system (RS) is highly efficient in filtering people's desired information from
high-dimensional and sparse (HiDS) data. To date, a latent factor (LF)-based approach …
high-dimensional and sparse (HiDS) data. To date, a latent factor (LF)-based approach …
A double-space and double-norm ensembled latent factor model for highly accurate web service QoS prediction
Quality-of-Service (QoS), which describes the non-functional characteristics of Web service,
is of great significance in service selection. Since users cannot invoke all services to obtain …
is of great significance in service selection. Since users cannot invoke all services to obtain …
Robust latent factor analysis for precise representation of high-dimensional and sparse data
High-dimensional and sparse (HiDS) matrices commonly arise in various industrial
applications, eg, recommender systems (RSs), social networks, and wireless sensor …
applications, eg, recommender systems (RSs), social networks, and wireless sensor …
Minority-weighted graph neural network for imbalanced node classification in social networks of internet of people
K Wang, J An, M Zhou, Z Shi, X Shi… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Social networks are an essential component of the Internet of People (IoP) and play an
important role in stimulating interactive communication among people. Graph convolutional …
important role in stimulating interactive communication among people. Graph convolutional …
Toward point-of-interest recommendation systems: A critical review on deep-learning Approaches
In recent years, location-based social networks (LBSNs) that allow members to share their
location and provide related services, and point-of-interest (POIs) recommendations which …
location and provide related services, and point-of-interest (POIs) recommendations which …
Two-stream graph convolutional network-incorporated latent feature analysis
F Bi, T He, Y Xie, X Luo - IEEE Transactions on Services …, 2023 - ieeexplore.ieee.org
Historical Quality-of-Service (QoS) data describing existing user-service invocations are vital
to understanding user behaviors and cloud service conditions. Collaborative Filtering (CF) …
to understanding user behaviors and cloud service conditions. Collaborative Filtering (CF) …
Hyperparameter learning for deep learning-based recommender systems
Deep learning (DL)-based recommender system (RS), particularly for its advances in the
recent five years, has been startling. It reshapes the architectures of traditional RSs by lifting …
recent five years, has been startling. It reshapes the architectures of traditional RSs by lifting …
Skin lesion analysis for melanoma detection using the novel deep learning model fuzzy GC-SCNN
U Bhimavarapu, G Battineni - Healthcare, 2022 - mdpi.com
Melanoma is easily detectable by visual examination since it occurs on the skin's surface. In
melanomas, which are the most severe types of skin cancer, the cells that make melanin are …
melanomas, which are the most severe types of skin cancer, the cells that make melanin are …